Engineering Manager II, Runtime Services

About the Role

As an Engineering Manager II for Runtime Services, you will establish the strategy, charter, and operating model for a new team responsible for two major platforms:

• Pinterest’s large-scale asynchronous job scheduling and execution platform
• Its anomaly detection, root-cause analysis, and ML monitoring platform

What you'll do

• Establish the strategy, charter and operating model for a new team responsible for two major platforms.
• Pinterest’s large-scale asynchronous job scheduling and execution platform, and its anomaly detection, root-cause analysis, and ML monitoring platform.
• Lead the technical roadmap & evolution of these platforms, advancing automation, self-service onboarding, resource efficiency and reliability.
• Build strong partnerships with teams across Pinterest to understand customer needs, drive adoption and deliver measurable improvements in developer productivity and data-driven decision-making.
• Strengthen operational excellence across both platforms by improving observability, incident response, service health, documentation and engineering practices.
• Hire, coach and grow a high-performing team while establishing an inclusive culture of ownership, learning and continuous improvement.
• Use AI to accelerate planning, technical exploration, documentation and operational analysis, applying sound judgment and verification to ensure the quality and correctness of final outcomes.

What we’re looking for

• Minimum 9 years of software engineering experience, including deep expertise in distributed platforms and solid familiarity with backend systems & interest in algorithms in anomaly detection domain.
• Minimum 2 years of engineering management experience leading strong platform & backend highly available engineering teams.
• Strong technical foundation in platform reliability, observability, Kubernetes or cloud infrastructure, data systems and developer experience.
• Deep understanding of distributed systems, asynchronous execution, workflow orchestration and passion for machine learning algorithms.
• Experience setting technical strategy and delivering meaningful improvements to platform scalability, operational efficiency, customer adoption or engineering velocity.
• Ability to lead work across platforms and collaborate effectively with cross-functional partners.
• Clear communication skills, strong technical judgment, and a people-focused leadership approach.
• Experience using AI to accelerate engineering planning, analysis and execution, with a clear approach to validating accuracy, quality and security.
• Bachelor’s/Master’s degree in Computer Science, a related technical field, or equivalent practical experience.

In-Office Requirement

• This role requires in-person collaboration in the office 1-2 times per quarter, and can therefore be situated anywhere in the country.